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Record W4400780938 · doi:10.25730/vsu.2070.18.064

Либеральный прагматизм. Реализация военного, политического и экономического потенциала Канады в годы Второй мировой войны

2019· article· en· W4400780938 on OpenAlexaboutno aff
Yu.G. Akimov

Bibliographic record

VenueВестник гуманитарного образования · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Monograph of associate professor of the Department of history, philosophy and political science of Saratov socioeconomic Institute (branch) of RUE n.a. G. V. Plekhanov is devoted to the topic, the relevance, scientifictheoretical and scientificpractical importance of which is beyond doubt. The history of the World War II the one of the key events in the world history of the twentieth century, which largely determined the direction of its subsequent development for many decades continues to be a field of intense discussions, which often have not only an academic focus. At the same time, it retains a lot of white spots and lacunae, including those related to the clarification of the contribution to the overall Victory of those participants in the conflict who played not the first role in it, but were not at all statisticians. Among these powers of middle rank stands Canada a country with significant material and human resources, military and economic power, which in a number of positions ranked fourth among the countries of the antiHitler coalition. Монография доцента кафедры истории, философии и политологии Саратовского социальноэкономического института (филиала) РЭУ им. Г.В. Плеханова посвящена теме, актуальность, научнотеоретическая и научнопрактическая значимость которой не вызывают сомнений. История Второй мировой войны одного из ключевых событий мировой истории ХХ века, во многом определившего направление ее последующего развития на протяжении многих десятилетий, продолжает оставаться полем напряженных дискуссий, имеющих зачастую не только академическую направленность. В то же время в ней сохраняется немало белых пятен и лакун, в том числе связанных с выяснением вклада в общую Победу тех участников конфликта, которые играли в нем не самые первые роли, но при этом отнюдь не являлись статистами. Среди этих держав среднего ранга выделяется Канада страна, обладавшая значительными материальными и людскими ресурсами, военной и экономической мощью, которая по ряду позиций занимала четвертое место среди стран Антигитлеровской коалиции.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0230.011

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.273
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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